code: def test_fp16_module(self):
      transformer_config = self.transformer_config
      megatron_module = self.megatron_module
      transformer_config.fp16 = True
      fp16_module = Float16Module(
          config=transformer_config, module=megatron_module
      )
  
      assert fp16_module
      assert fp16_module.config.hidden_size == 12
      assert fp16_module.config.ffn_hidden_size == 48
      assert fp16_module.module.linear.weight.dtype == torch.float16
  
      x = torch.ones((2, 2)).cuda()
      # inputs are converted to fp16 then outputs are converted to fp32
      assert fp16_module(x).dtype == torch.float32
  
file_path: megatron-lm/tests/unit_tests/transformer/test_module.py
imports: import pytest
  import torch
  from megatron.core.transformer.module import Float16Module, MegatronModule
  from megatron.core.transformer.transformer_config import TransformerConfig
  from tests.unit_tests.test_utilities import Utils
  from megatron.core.tensor_parallel.random import model_parallel_cuda_manual_seed
label_desc: Use image node_id 3 for calling the TestFloat16Module obj's underlying member method code with example usage: obj.test_fp16_module() without return types